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Journal articles on the topic 'Criteria identification'

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1

Solodilova, I. A., and T. Yu Sokolova. "EUPHEMISM IDENTIFICATION CRITERIA." Vestnik Orenburgskogo gosudarstvennogo universiteta 211, no. 11 (2017): 73–78. http://dx.doi.org/10.25198/1814-6457-211-73.

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2

McCaul, Edward J., and Pamela N. Schutz. "Learning Disability Identification Criteria." Teacher Education and Special Education: The Journal of the Teacher Education Division of the Council for Exceptional Children 14, no. 2 (1991): 116–20. http://dx.doi.org/10.1177/088840649101400206.

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3

Oganesyants, Lev, Vladislav Semipyatniy, Aram Galstyan, Ramil Vafin, Sergey Khurshudyan, and Anastasia Ryabova. "Multi-criteria food products identification by fuzzy logic methods." Foods and Raw Materials 8, no. 1 (2020): 12–19. http://dx.doi.org/10.21603/2308-4057-2020-1-12-19.

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The paper deals with the theory of fuzzy sets as applied to food industry products. The fuzzy indicator function is shown as a criterion for determining the properties of the product. We compared the approach of fuzzy and probabilistic classifiers, their fundamental differences and areas of applicability. As an example, a linear fuzzy classifier of the product according to one-dimensional criterion was given and an algorithm for its origination as well as approximation is considered, the latter being sufficient for the food industry for the most common case with one truth interval where the indicator function takes the form of a trapezoid. The results section contains exhaustive, reproducible, sequentially stated examples of fuzzy logic methods application for properties authentication and group affiliation of food products. Exemplified by measurements of the criterion with an error, we gave recommendations for determining the boundaries of interval identification for foods of mixed composition. Harrington’s desirability function is considered as a suitable indicator function of determining deterioration rate of a food product over time. Applying the fuzzy logic framework, identification areas of a product for the safety index by the time interval in which the counterparty selling this product should send it for processing, hedging their possible risks connected with the expiry date expand. In the example of multi-criteria evaluation of a food product consumer attractiveness, Harrington’s desirability function, acting as a quality function, was combined with Weibull probability density function, accounting for the product’s taste properties. The convex combination of these two criteria was assumed to be the decision-making function of the seller, by which identification areas of the food product are established.
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Al-Quraishy, Saleh, Fathy Abdel-Ghaffar, Mohamed A. Dkhil, and Rewaida Abdel-Gaber. "Haemogregarines and Criteria for Identification." Animals 11, no. 1 (2021): 170. http://dx.doi.org/10.3390/ani11010170.

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Apicomplexa is a phylum that includes all parasitic protozoa sharing unique ultrastructural features. Haemogregarines are sophisticated apicomplexan blood parasites with an obligatory heteroxenous life cycle and haplohomophasic alternation of generations. Haemogregarines are common blood parasites of fish, amphibians, lizards, snakes, turtles, tortoises, crocodilians, birds, and mammals. Haemogregarine ultrastructure has been so far examined only for stages from the vertebrate host. PCR-based assays and the sequencing of the 18S rRNA gene are helpful methods to further characterize this parasite group. The proper classification for the haemogregarine complex is available with the criteria of generic and unique diagnosis of these parasites.
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Ol'khovik,, O., O. Figovsky,, and V. Feigin,. "Identification of Static Strength Criteria." Journal of the Mechanical Behavior of Materials 6, no. 4 (1996): 301–8. http://dx.doi.org/10.1515/jmbm.1996.6.4.301.

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6

Wigren, T. "Circle criteria in recursive identification." IEEE Transactions on Automatic Control 42, no. 7 (1997): 975–79. http://dx.doi.org/10.1109/9.599976.

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7

Houghton, Peter John. "Establishing Identification Criteria for Botanicals." Drug Information Journal 32, no. 2 (1998): 461–69. http://dx.doi.org/10.1177/009286159803200219.

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8

Konickis, Andrius. "NEW CRITERIA FOR SELF‐IDENTIFICATION." CREATIVITY STUDIES 3, no. 2 (2010): 91–98. http://dx.doi.org/10.3846/limes.2010.10.

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At a very close examination, traditional self‐identification by the nationality or the religious confession appears deprived from the common sense and even seems to be a kind of mauvais ton. Here a question arises: are the nationality and the religion the essential properties of a man or a woman? The most serious charges are following: national and religious conflicts are the reason of the greatest sufferings of mankind. If it is really necessary to rank a person with any class or category (but only if it is), historical memory can prompt more essential criteria. Nauji savęs identifikavimo kriterijai Santrauka Glaustame tyrime tradicinis savęs identifikavimas pagal tautybę ar konfesiją traktuojamas kaip nepriklausantis nuo sveiko proto ir net atrodo esąs kaip mauvais ton (blogas tonas). Kyla klausimas – ar tautybė ir religija yra esminės vyro ar moters savybės? Svarbiausia problema – nacionaliniai ir religiniai konfliktai yra didžiausių žmonijos kančių priežastis. Jei tikrai būtina paskirti tam tikros klasės ar kategorijos asmenį (bet tik to reikia), tai istorinė atmintis gali iškelti kur kas svarbesnius kriterijus.
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9

Eliseev, Mikhail Nikolaevich, Irina Nikolaevna Gribkova, Maxim Alexandrovich Zakharov, and Varvara Alekseevna Zakharova. "IDENTIFICATION CRITERIA FOR BLACK TEA." Bulletin of KSAU, no. 9 (2022): 205–13. http://dx.doi.org/10.36718/1819-4036-2022-9-205-213.

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10

Makel, Matthew C., Scott J. Peters, Lindsay Ellis Lee, et al. "Effective Identification Through Multiple Criteria." Gifted Child Today 47, no. 2 (2024): 108–18. http://dx.doi.org/10.1177/10762175231222300.

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Finding all the “gifted” students who would benefit from a gifted and talented service is a perpetual concern. In this article, we focus on how to effectively implement multiple criteria in identification. First, we provide some broad background before introducing three different ways to combine multiple data points (AND, OR, and MEAN) when identifying students for gifted services. Next, we discuss how effective use of combining multiple criteria—including using two-phase identification systems—contributes to schools saving time and money while also better identifying students. To do this, we use newly introduced criteria for evaluating gifted and talented identification systems. Finally, we provide several keys for success that can help schools accomplish their identification goals effectively.
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11

Vajk, István, and Jen Hetthéssy. "COVARIANCE MATCHING CRITERIA IN EIV IDENTIFICATION." IFAC Proceedings Volumes 39, no. 1 (2006): 184–89. http://dx.doi.org/10.3182/20060329-3-au-2901.00023.

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12

Ljung, L. "On Convexification of System Identification Criteria." Automation and Remote Control 80, no. 9 (2019): 1591–606. http://dx.doi.org/10.1134/s0005117919090030.

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13

Chakraborty, P., S. Balachandar, and R. J. Adrian. "Kinematics of local vortex identification criteria." Journal of Visualization 10, no. 2 (2007): 137–40. http://dx.doi.org/10.1007/bf03181819.

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14

Ogimoto, Masaro, Keizo Anzai, Hiromasa Takenoshita, et al. "Criteria for Early Identification of Aceruloplasminemia." Internal Medicine 50, no. 13 (2011): 1415–18. http://dx.doi.org/10.2169/internalmedicine.50.5108.

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15

Ikhsanov, N. R. "Criteria for identification of subsonic propellers." Astronomy Letters 31, no. 9 (2005): 586–90. http://dx.doi.org/10.1134/1.2039969.

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16

Vereina, Larisa V. "Identification criteria for erga omnes obligations." Gosudarstvo i pravo, no. 9 (2023): 180. http://dx.doi.org/10.31857/s102694520023529-2.

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The judgement of ICJ of 1970 brought about the need for theoretical basis for erga omnes obligations in international legal science. The following state and ICJ practice failed to create any uniform solution for identification of these rules. Therefore, the international legal teachings became essential for developing individual criteria and approaches to separate erga omnes rules and other rules of International Law.
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17

Gnutova, R. V., V. F. Tolkach, and Ju V. Bogunov. "Criteria for identification of Cauliflower mosaic virus’s of the far eastern strains." Plant Protection Science 38, SI 2 - 6th Conf EFPP 2002 (2017): 258–60. http://dx.doi.org/10.17221/10461-pps.

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On the base of the present-day principles to classify plant viruses the identification of Cauliflower mosaic virus (CaMV), a new virus for the Russian Federation, is carried out. Biological properties of 7 isolates have been studied. Symptomatology, range of host-plants and physical properties of virions of studied strains differ. The least thermostable strain is CaMV-B3 (TIP – 75°C) and the highest TIP (85°C) is CaMV-B1. The highest virus concentration in sap was observed for CaMV-B2 (DEP – 10<sup>–6</sup>), and lowest – CaMV-R1 (10<sup>–1</sup>–10<sup>–2</sup>). CaMV-B2 and CaMV-C2 lost infection during 4 days in room conditions, CaMV-B3 – 1 day. A virus proteins were isolated (42 and 44 kD). The native nucleic acid of CaMV have been extracted. The DNA was separated into mixtures of circular and linear molecules. Size of the DNA is about 8000 base pairs.
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18

Gershoni-Poranne, Renana, and Amnon Stanger. "Magnetic criteria of aromaticity." Chem. Soc. Rev. 44, no. 18 (2015): 6597–615. http://dx.doi.org/10.1039/c5cs00114e.

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19

Loukanov, Ivan A. "Multi-criteria Identification of VibroBot Dynamic Characteristics." IOSR Journal of Engineering 06, no. 07 (2016): 26–35. http://dx.doi.org/10.9790/3021-067012635.

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20

Kartseva, Ekaterina A., and Marina L. Zvyagintseva. "PUBLIC ART: TERMINOLOGICAL APPROACHES AND IDENTIFICATION CRITERIA." Articult, no. 1 (2020): 58–73. http://dx.doi.org/10.28995/2227-6165-2020-1-58-73.

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21

Chui, Nelson L. C., and J. M. Maciejowski *. "Criteria for informative experiments with subspace identification." International Journal of Control 78, no. 5 (2005): 326–44. http://dx.doi.org/10.1080/00207170500073830.

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22

SULLIVAN, MICHELE G. "New Criteria May Hasten Identification of AD." Clinical Psychiatry News 38, no. 10 (2010): 27. http://dx.doi.org/10.1016/s0270-6644(10)70388-x.

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23

Halkos, George E., and Kyriaki D. Tsilika. "Programming Identification Criteria in Simultaneous Equation Models." Computational Economics 46, no. 1 (2014): 157–70. http://dx.doi.org/10.1007/s10614-014-9444-9.

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24

Guo, Xiaoyu, Lingtao Wu, and Dominique Lord. "Generalized criteria for evaluating hotspot identification methods." Accident Analysis & Prevention 145 (September 2020): 105684. http://dx.doi.org/10.1016/j.aap.2020.105684.

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25

Palmer, Anthony J. "Criteria to evaluate Automated Personal Identification Mechanisms." Computers & Security 27, no. 7-8 (2008): 260–84. http://dx.doi.org/10.1016/j.cose.2008.07.007.

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26

&NA;. "DONATION AFTER CARDIAC DEATH: VALIDATING IDENTIFICATION CRITERIA." Transplantation 82, Suppl 2 (2006): 437. http://dx.doi.org/10.1097/00007890-200607152-01099.

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27

Echcheikh, Aziza, Abdellah Azmani, and Abdelhadi Fennan. "Identification of investment criteria in Islamic finance." International Journal of Teaching and Case Studies 4, no. 4 (2013): 330. http://dx.doi.org/10.1504/ijtcs.2013.060634.

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28

JÖNsson, INGEGERD, BJÖRN Eriksson, and AUD Krook. "Minimal criteria for identification ofMoraxella (Branhamella) catarrhalis." APMIS 98, no. 7-12 (1990): 954–56. http://dx.doi.org/10.1111/j.1699-0463.1990.tb05020.x.

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29

Chernyshov, K. R., and E. Ph Jharko. "Entropy Criteria in the Econometric Model Identification." IFAC-PapersOnLine 49, no. 12 (2016): 827–32. http://dx.doi.org/10.1016/j.ifacol.2016.07.877.

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30

Schmitt, Michael. "Identification Criteria and Lower Bounds for Perceptron-Like Learning Rules." Neural Computation 10, no. 1 (1998): 235–50. http://dx.doi.org/10.1162/089976698300017962.

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Perceptron-like learning rules are known to require exponentially many correction steps in order to identify boolean threshold functions exactly. We introduce criteria that are weaker than exact identification and investigate whether learning becomes significantly faster if exact identification is replaced by one of these criteria: probably approximately correct (PAC) identification, order identification, and sign identification. PAC identification is based on the learning paradigm introduced by Valiant (1984) and is known to be easier than exact identification. Order identification uses the fact that each threshold function induces an ordering relation on the input variables that can be represented by weights of linear size. Sign identification is based on a property of threshold functions known as unateness and requires only weights of constant size. We show that Perceptron-like learning rules cannot satisfy these criteria when the number of correction steps is to be bounded by a polynomial. We also present an exponential lower bound for order identification with the learning rules introduced by Littlestone (1988). Our results show that efficiency imposes severe restrictions on what can be learned with local learning rules.
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31

Guseva, Natalija. "Identification and Analysis of the Electronic Commerce Quality Criteria." Business: Theory and Practice 11, no. (2) (2010): 96–106. https://doi.org/10.3846/btp.2010.11.

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Internet penetration in everyday life determined the emergence of new business area, where the businessmen can compete, offer and buy goods and services. With the view to reinforce business competitive abilities it is necessary to analyse the e-solutions, which help to reduce the distance factors and optimize information exchange process, and which become an indispensable tool for international business and marketing. This paper presents a literature review and analysis to find the guidelines of e-commerce quality assessment and choice of appropriate system, with a vast range of models proposed for e-solution quality evaluation, none of which was accepted globally. However, a content analysis allowed to identify the main groups of criteria to be applied for e-commerce quality evaluation. The list of criteria groups presented in the paper indicates those most considered by scientists and developers, and those deficient in attention. As the literature base is accumulated during long term, some of the proposed criteria could lose their importance nowadays, thus the e-commerce expert survey was performed. This survey allowed the specification of actually important e-commerce quality criteria. Despite the assumption that the most mentioned (in the literature and by the experts) criteria are of the first priority, the competitive advantage can be hidden in the analysis of less popular criteria, which can discover new potential of e-commerce quality improving, developing, and market position consolidation.
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32

HOSHI, Atsushi. "Criteria and Frame of Reference in Status Identification." Japanese Sociological Review 51, no. 1 (2000): 120–35. http://dx.doi.org/10.4057/jsr.51.120.

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33

Antoniuk, N. O. "IDENTIFICATION OF CRITERIA OF DIFFERENTIATION OF CRIMINAL RESPONSIBILITY." Uzhhorod National University Herald. Series: Law 59, no. 2 (2019): 78–82. http://dx.doi.org/10.32782/2307-3322.59-2.17.

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34

Selivanov, V. A., and J. V. Selivanova. "Statistical criteria of electrical drive system controlling identification." Вестник Белорусско-Российского университета, no. 1 (2008): 139–45. http://dx.doi.org/10.53078/20778481_2008_1_139.

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35

Whaley, Lindsay J., and D. N. S. Bhat. "The Adjectival Category: Criteria for Differentiation and Identification." Language 71, no. 4 (1995): 835. http://dx.doi.org/10.2307/415763.

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36

Onoghojobi. "An Instant of Performance Criteria for Outlier Identification." Journal of Mathematics and Statistics 6, no. 3 (2010): 325–26. http://dx.doi.org/10.3844/jmssp.2010.325.326.

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37

Jabri, Soussan. "Fundamental Doubts about the Criteria of Allusion Identification." Half-Yearly Persian Language and Literature 23, no. 79 (2016): 83–112. http://dx.doi.org/10.18869/acadpub.jpll.23.79.83.

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38

Clemens, R. S., M. A. Weston, A. Haslem, A. Silcocks, and J. Ferris. "Identification of significant shorebird areas: thresholds and criteria." Diversity and Distributions 16, no. 2 (2010): 229–42. http://dx.doi.org/10.1111/j.1472-4642.2009.00635.x.

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39

Dytczak, Mirosław, and Grzegorz Ginda. "IDENTIFICATION OF BUILDING REPAIR POLICY CHOICE CRITERIA ROLE." Technological and Economic Development of Economy 15, no. 2 (2009): 213–28. http://dx.doi.org/10.3846/1392-8619.2009.15.213-228.

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Preparation of building repair activities in multi‐family dwelling houses poses an important problem for habitat co‐operatives in Poland. Firstly, such co‐operatives own and manage a lot of buildings. Secondly, scarcity of economic and non‐economic resources requires their effective allocation. Such allocation should be based on properly prioritised actions’ alternatives. Unfortunately, due to the complex influence of the surrounding environment, the influence of a considerable number of components and diverse point of views is to be included during the analysis of repair needs. Potential influences result from a bunch of sources. The sources are of economic, technological, social and environmental nature. To support a decision‐maker effectively, information pertaining to the importance of particular influences is required. Such information can be obtained by special means of multi‐criteria decision analysis (MCDA) methodology. The application of the chosen approach – Decision Making Trial and Evaluation Laboratory (DEMATEL) for classification of repair needs assessment criteria to shape repair policy appropriately is presented in this paper. Santrauka Pasirengimas remontuoti daugiabučius gyvenamuosius namus sukelia daug problemų tokių namų kooperatyvams Lenkijoje. Pirma, tokie kooperatyvai turi ir valdo daug pastatų. Antra, dėl nepakankamų ekonominių ir neekonominių išteklių reikia juos efektyviai paskirstyti. Toks paskirstymas turi būti pagrįstas išnagrinėjus alternatyvas ir nustačius prioritetines. Deja, remonto poreikio analizę veikia sudėtinga aplinka. Tam įtaką daro daug komponentų, reikia suderinti įvairius požiūrius. Potenciali įtaka kyla iš šaltinių gausos. Yra ekonominiai, technologiniai, socialiniai ir gamtinės aplinkos šaltiniai. Efektyviam sprendimui priimti reikia turėti informacijos apie įtakos svarbą. Tokiai informacijai gauti gali būti pritaikyta speciali daugiakriterinės sprendimų analizės metodologija. Straipsnyje pristatomas metodas, kuriuo vertinami remonto poreikio kriterijai ir padedama suformuluoti remonto politiką.
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40

Walach, E. "On high-order error criteria for system identification." IEEE Transactions on Acoustics, Speech, and Signal Processing 33, no. 6 (1985): 1634–35. http://dx.doi.org/10.1109/tassp.1985.1164755.

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41

Pugnaloni, Luis A., and Fernando Vericat. "New criteria for cluster identification in continuum systems." Journal of Chemical Physics 116, no. 3 (2002): 1097–108. http://dx.doi.org/10.1063/1.1427723.

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42

Dean, Bonnie B., Jeff E. Borenstein, Kevin Knight, and Kimberly Yonkers. "Evaluating the Criteria Used for Identification of PMS." Journal of Women's Health 15, no. 5 (2006): 546–55. http://dx.doi.org/10.1089/jwh.2006.15.546.

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43

Zhu, Yucai. "Use of Error Criteria in Identification for Control." IFAC Proceedings Volumes 33, no. 15 (2000): 307–12. http://dx.doi.org/10.1016/s1474-6670(17)39768-9.

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44

Twardowski, Tomasz. "Quality Criteria and Design of Biased Identification Experiment." IFAC Proceedings Volumes 33, no. 15 (2000): 1209–12. http://dx.doi.org/10.1016/s1474-6670(17)39919-6.

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45

Khan, M. Tariq, and M. Taufiq Khan. "Identification criteria for Thuja (species) used in medicine." Journal of Pharmacy and Pharmacology 50, S9 (1998): 82. http://dx.doi.org/10.1111/j.2042-7158.1998.tb02282.x.

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46

Boling, J. M., and P. M. Makila. "On control relevant criteria in H/sub ∞/ identification." IEEE Transactions on Automatic Control 43, no. 5 (1998): 694–700. http://dx.doi.org/10.1109/9.668839.

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47

Bakhshi, Mounes. "Important Criteria for Identification of the Cercospora Species." Plant Pathology Science 7, no. 1 (2018): 1–14. http://dx.doi.org/10.29252/pps.7.1.1.

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48

Kadirkamanathan, Visakan, and Guoping Liu. "Robust Identification with Neural Networks Using Multiobjective Criteria." IFAC Proceedings Volumes 28, no. 13 (1995): 251–56. http://dx.doi.org/10.1016/s1474-6670(17)45358-4.

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49

Liashuk, A. V. "Legal language styles: identification criteria and characteristic features." Прикарпатський юридичний вісник, no. 6 (2023): 10–14. http://dx.doi.org/10.32782/pyuv.v6.2023.2.

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50

Deffenbacher, Kenneth A., John F. Cross, Robert E. Handkins, et al. "Relevance of Voice Identification Research to Criteria for Evaluating Reliability of an Identification." Journal of Psychology 123, no. 2 (1989): 109–19. http://dx.doi.org/10.1080/00223980.1989.10542967.

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